Category: internet

The Tragedy of Generative AI 

Yes, I have no patience for perfecting image prompts using AI.

Listen up, tech oligarchs; lend an ear, simpering brohanions. We’re doing this generative AI thing all wrong, and if you continue down your current path, your house of cards will fall, leaving all of us wanting, but most importantly, leaving you out of power. And given that you value power over all else, it strikes me it might be in your own self interest to consider an alternate path. 

Here’s the problem: you’ve managed to convince nearly all of us that sometime real soon, generative AI will deliver us powerful services that will automate nearly every difficult and/or deadly boring task we currently have to perform. From booking complex yet perfectly priced itineraries to delivering personalized health diagnoses that vastly outperform even the most cogent physician, your AI agents have us starstruck, bedazzled, and breath-baited.* 

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The Token Act – A Modest Proposal from 2018

I’m in the middle of a rather large project, attempting to consolidate a thread running through roughly a dozen essays I’ve written over the past decade or so. I keep running into borked links when I hit one particular piece – which can be found on LinkedIn, but not this site. It’s a seminal reference post about a fictional “Token Act,” which I proposed while researching Internet policy at Columbia back in 2018. I’m going to repost it here, below, so it’ll live on my own domain from now on. 

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Social conversations about difficult and complex topics have arcs – they tend to start scattered, with many threads and potential paths, then resolve over time toward consensus. This consensus differs based on groups within society – Fox News aficionados will cluster one way, NPR devotees another. Regardless of the group, such consensus then becomes presumption – and once a group of people presume, they fail to explore potentially difficult or presumably impossible alternative solutions.

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Bluesky, Twitter, and “The Open Network”

Emily Liu at Bluesky has a timely post that I’d like to respond to. (Back in the day, when blogging was a thing, we did a lot of this – someone would write a thoughtful piece, then many others would write responses. These organic, mostly high-quality “backlinks” formed the backbone of Google’s early web dominance, but I digress, somewhat, because it’s all related).

In any case, Liu’s piece, entitled “Benefits of an Open Network,” uses a series of simple metaphors to explain how Bluesky is different from other social networks. Most readers already know this, but just in case, here’s the core of it: Bluesky is an app built on an open protocol, which means Bluesky users can engage with any other app which conforms to that protocol. In other words, Bluesky lives in an open network, albeit a rather limited one at the moment. Here’s Liu:

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Don’t Repeal Section 230. Clarify It.

The 26 words that “changed the internet.” Image NYT.

(This is a column I wrote for Signal360, P&G’s companion publication for its Signal conference, which I co-produce. It’s always fraught to weigh in on this fundamental piece of Internet legislation, so I welcome your thoughts!)

It’s difficult to find anything Congress agrees on these days, but when it comes to the much-misunderstood policy known as “Section 230,” it’s unanimous: this piece of 20th-century legislation needs to be fixed. And while such a fix may be needed, it could have a significant impact on how every company goes to market. 

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Larry Lessig – Why Can’t We Regulate the Internet Like We Regulate Real Space?

Wikipedia

I’ve known Larry Lessig for more than 25 years, and throughout that time, I’ve looked to him for wisdom – and a bit of pique – when it comes to understanding the complex interplay of law, technology, and the future of the Internet. Lessig is currently the Roy L. Furman Professor of Law and Leadership at Harvard Law School. He also taught at Stanford Law School, where he founded the Center for Internet and Society, and at the University of Chicago. He is the author of more than half a dozen books, most of which have deeply impacted my own thinking and writing.

As part of an ongoing speaker series “The Internet We Deserve,” a collaboration with Northeastern’s Burnes Center For Social Change, I had a chance to sit down with Lessig and conduct a wide-ranging discussion covering his views on the impact of money in government’s role as a regulator of last resort. Lessig is particularly concerned about today’s AI-driven information environment, which he says has polluted public discourse and threatens our ability to conduct democratic processes like elections. Below is a transcript of our conversation, which, caveat emptor, is an edited version of AI-assisted output. The video can be found here, and embedded at the bottom of this article.

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Vint Cerf: Maybe We Need an Internet Driver’s License

Vint Cerf is one of the most recognizable figures in the pantheon of Internet stardom – and as he enters his ninth decade of a remarkable life, one of its most accomplished. I had the honor of interviewing Dr. Cerf last month as part of the “Rebooting Democracy in the Age of AI” lecture series hosted by the Burnes Center for Social Change at Northeastern University. The conversation also served as the kick-off to my own Burnes Center lecture series, “The Internet We Deserve” where I’ll talk with notable business, policy, technology and academic leaders central to the creation of the Internet as we know it today (last week I spoke with Larry Lessig). 

Universally recognized as one of “the fathers of the Internet,” Cerf’s many awards include the National Medal of Technology, the Turing Award, the Presidential Medal of Freedom, the Marconi Prize, and membership in the National Academy of Engineering. Dr. Cerf received his PhD from UCLA, where he worked in the famous lab that built the first nodes of what later became known as the Internet. He has worked at IBM, DARPA, MCI, JPL, and is now Chief Internet Evangelist at Google. Cerf has chaired, formed, and participated in countless working groups, governing bodies, and scientific, technological, and academic organizations. 

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Predictions 2024: It’s All About The Data

Let’s talk 2024.

2023 was a down year on the predictions front, but at least I’ve learned to sidestep distractions like Trump, crypto, and Musk. If I can avoid talking about the joys of the upcoming election and/or the politics of Silicon Valley billionaires,  I’m optimistic I’ll return to form. As always, I am going to write this post with no prep and in one stream-of-conscious sitting. Let’s get to it.

  1. The AI party takes a pause. The technology industry – and by this point, the entire capitalist experiment – is addicted to boom and bust cycles and riddled with blinkered optimism. In 2023 we allowed ourselves to dream of AI genies; we imagined trillions in future economic gains, we invested as if those gains were a certainty. In 2024, we’ll wake up and realize – as we did with the web in the early 2000s – that there’s a lot of hard work to do before our dreams become a reality. I’m not predicting an AI crash – but rather a period of digestion, with a possible side of Tums. Corporations will find their initial pilots less impactful than they hoped, and when told of the sums they must spend to course correct, insist on cutting back. Consumers will become accustomed to genAI’s outputs and begin to rethink their $20 a month subscriptions. Growth will slow, though it will not stagnate. Regulators around the world will take the year to move past Terminator nightmares and into the hard work of deeply understanding AI’s societal impact. IP holders – artists, newspapers, craftspeople – will press their lawsuits and infuse the market with uncertainty and hesitancy. In short, society will take a pause that refreshes. And that will be a good thing.
  2. But Progress Continues… It may feel like a pause, but below the tech media scorekeeping narrative, a growing ecosystem of AI startups will make important strides in areas that will matter beyond 2024. AI is driven by data, and as a society we’re not particularly good at structuring, governing, or sharing data. It makes sense that big companies with access to unholy amounts of structured data pioneered the AI era. (Of course, if you’re not a big company, and you want access to massive amounts of data, it helps to just take it without asking permission). But the AI-driven startups that will make waves in 2024 will do so by structuring discrete chunks of valuable information on behalf of very specific customers. It won’t make many headlines, but taken collectively, it’s this kind of work that will lay the groundwork for AI becoming truly magical. Read More
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Advertising Is Coming To Threads. What Happens Next?

With thanks to Scott Monty

I stopped using Twitter over a year ago, as soon as Elon Musk took control of the place. I don’t miss it – it was already a pretty toxic place, and my tenure at The Recount, a political media company, ensured I had to engage with most of Twitter’s worst attributes.

But when Meta launched Threads, its Twitter clone, I figured I’d give the new service a try. I’d played around with Mastodon, but found it a bit sparse, and Meta’s commitment to the fediverse (still unfulfilled), plus its integration with Instagram (a built in network!) felt worth checking out.

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The Sites That Never Get Built: Why Today’s Internet Discourages Experimentation

 

The Dude knows the pitfalls of scattering a loved ones’ ashes…

Every so often I get an idea for a new website or service. I imagine you do as well. Thinking about new ideas is exciting – all that promise and potential. Some of my favorite conversations open with “Wouldn’t it be cool if….”

Most of my ideas start as digital services that take advantage of the internet’s ubiquity. It’s rare I imagine something bounded in real space – a new restaurant or a retail store. I’m an internet guy, and even after decades of enshittification, I still think the internet is less than one percent developed.  But a recent thought experiment made me question that assumption. As I worked through a recent “wouldn’t it be cool” moment, I realized just how moribund the internet ecosystem has become, and how deadening it is toward spontaneous experimentation.

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Digital Is Killing Serendipity

The buildings are the same, but the information landscape has changed, dramatically.

Today I’m going to write about the college course booklet, an artifact of another time. I hope along the way we might learn something about digital technology, information design, and why we keep getting in our own way when it comes to applying the lessons of the past to the possibilities of the future. But to do that, we have to start with a story.  

Forty years ago this summer I was a rising Freshman at UC Berkeley. Like most 17- or 18- year olds in the pre-digital era, I wasn’t particularly focused on my academic career, and I wasn’t much of a planner either. As befit the era, my parents, while Berkeley alums, were not the type to hover – it wasn’t their job to ensure I read through the registration materials the university had sent in the mail – that was my job. Those materials included a several-hundred-page university catalog laying out majors, required courses, and descriptions of nearly every class offered by each of the departments. But that was all background – what really mattered, I learned from word of mouth, was the course schedule, which was published as a roughly 100-page booklet a few weeks before classes started. 

Consisting of thousands class summaries organized by department, the booklet was the product of centuries of evolving information design. Its thin newsprint pages were easily navigated and steadfastly accurate. This unassuming information artifact was the only way that tens of thousands of students, faculty, and administrators could – quite literally – get on the same page. It did its job – even if the page itself consisted mainly of smudgy nine-point type.  

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